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pspline.inference
View on CRAN: Click
here
Download and install pspline.inference package within the R console
Install from CRAN:
install.packages("pspline.inference")
Install from Github:
library("remotes")
install_github("cran/pspline.inference") Install by package version:
library("remotes")
install_version("pspline.inference", "1.0.4") Attach the package and use:
library("pspline.inference")
Maintained by
Ben Artin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-01
Latest Update:
Description:
Inference of infectious disease outcomes using generalized additive
(mixed) models with penalized basis splines (P-Splines). See
.
How to cite:
Ben Artin (2020). pspline.inference: Estimation of Characteristics of Seasonal and Sporadic
Infectious Disease Outbreaks Using Generalized Additive
Modeling with Penalized Basis Splines. R package version 1.0.4, https://cran.r-project.org/web/packages/pspline.inference. Accessed 24 Jul. 2026.
Previous versions and publish date:
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Other R packages that pspline.inference depends,
imports, suggests or enhances
Functions, R codes and Examples using
the pspline.inference R package
Some associated functions: check.scalars . confints.outcomes . ecdf.outcomes . eval.model . observed.results.scalars . pspline.confints.scalars . pspline.confints.timeseries . pspline.estimate.scalars . pspline.estimate.timeseries . pspline.inference . pspline.outbreak.calc.cumcases . pspline.outbreak.cases . pspline.outbreak.cumcases . pspline.outbreak.cumcases.relative . pspline.outbreak.thresholds . pspline.sample.scalars . pspline.sample.timeseries . pspline.validate.scalars . quantile.outcomes . sample.params . truth.results.scalars .
Some associated R codes: outbreak.R . package.R . scalar.R . timeseries.R . util.R . validation.R . Full pspline.inference package functions and examples
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